AI Engineering jobs

Join a multidisciplinary team to model and optimize AI workloads for advanced computing platforms. Analyze distributed training, inference, and LLMs to define networking architecture requirements, build simulations and analytical tools, and influence product roadmaps.

Join a team building fully autonomous AI customer-service agents for insurance. Design, build, and own production LLM agent systems, real-time voice agents, and knowledge bases, measuring impact through experimentation and cost optimization while shipping reliable backend services in TypeScript/Node on Kubernetes/AWS.

Lead the architecture and development of cutting-edge Generative AI systems, integrating LLMs with RAG, vector stores, and knowledge graphs. Drive Proof of Concepts, automate workflows with AWS services, and implement MLOps practices for scalable AI applications.

Lead the design and implementation of AI-native architectures, including agentic workflows and advanced RAG systems. Drive full lifecycle development from prompting to cloud deployment, integrating LLMs into high-scale systems with a focus on production AI, monitoring, and optimization.

Work directly with stakeholders to rapidly build and deploy automation and AI solutions. Full-stack engineering role involving data pipelines, backend, and frontend development using Python, React, Databricks, and Snowflake. Solve problems across diverse business functions.

Lead the evolution and scaling of AI architecture within a healthcare AI company. Drive cross-domain engineering initiatives connecting AI algorithms, software, and data systems. Focus on AI serving, integration, and orchestration, ensuring reliability and efficiency across global clinical workflows.

As a Senior AI Engineer on the AI Framework team, you will build the foundational platform for designing, evaluating, deploying, and operating AI agents at scale. You'll work on agentic framework architecture, evaluation systems, observability, and developer enablement, empowering the entire organization.

This role involves developing AI products, focusing on LLM-based applications and RAG systems. You will write Python code, run experiments, and support production systems. Ideal for someone with 2-3 years of software development experience, strong problem-solving skills, and a passion for learning new AI technologies.

Develop and optimize deep learning systems for high-frequency trading, working on distributed training, model serving, and performance profiling across massive compute clusters.

Seeking a Junior AI Engineer to build and deploy AI-driven automation solutions for global customer support. Responsibilities include developing automated workflows, designing prompt chains, and integrating AI agents with CRM systems. Requires 1+ years of experience with AI applications, scripting skills, and proficiency in Hebrew and English.